Tugas Customer Data

Brought to you by YData

Dataset statistics

Number of variables	16
Number of observations	8998
Missing cells	552
Missing cells (%)	0.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.0 MiB
Average record size in memory	122.0 B

Variable types

Numeric	11
Boolean	1
Categorical	4

Alerts

`age` is highly overall correlated with `dependents` and 4 other fields	High correlation
`income` is highly overall correlated with `age` and 4 other fields	High correlation
`frq` is highly overall correlated with `age` and 4 other fields	High correlation
`mnt` is highly overall correlated with `age` and 4 other fields	High correlation
`clothes` is highly overall correlated with `house_keeping` and 3 other fields	High correlation
`kitchen` is highly overall correlated with `clothes` and 2 other fields	High correlation
`small_appliances` is highly overall correlated with `clothes`	High correlation
`toys` is highly overall correlated with `clothes` and 2 other fields	High correlation
`house_keeping` is highly overall correlated with `clothes` and 2 other fields	High correlation
`per_net_purchase` is highly overall correlated with `age` and 4 other fields	High correlation
`dependents` is highly overall correlated with `age` and 4 other fields	High correlation
`dependents` has 282 (3.1%) missing values	Missing
`status` has 177 (2.0%) missing values	Missing
`kitchen` has 833 (9.3%) zeros	Zeros
`toys` has 815 (9.1%) zeros	Zeros
`house_keeping` has 851 (9.5%) zeros	Zeros

Reproduction

Analysis started	2025-10-01 12:48:27.576611
Analysis finished	2025-10-01 12:48:32.310699
Duration	4.73 seconds
Software version	ydata-profiling v0.0.dev0
Download configuration	config.json

age
Real number (ℝ)

High correlation

Distinct	61
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1966.0597

Minimum	1936
Maximum	1996
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	1936
5-th percentile	1939
Q1	1951
median	1966
Q3	1981
95-th percentile	1993
Maximum	1996
Range	60
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	17.296552
Coefficient of variation (CV)	0.0087975723
Kurtosis	-1.1959901
Mean	1966.0597
Median Absolute Deviation (MAD)	15
Skewness	0.0079540843
Sum	17690605
Variance	299.17072
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1974	171	1.9%
1951	169	1.9%
1992	168	1.9%
1979	167	1.9%
1976	166	1.8%
1961	165	1.8%
1960	164	1.8%
1949	163	1.8%
1959	162	1.8%
1978	160	1.8%
Other values (51)	7343	81.6%

Value	Count	Frequency (%)
1936	75	0.8%
1937	140	1.6%
1938	146	1.6%
1939	137	1.5%
1940	153	1.7%
1941	143	1.6%
1942	155	1.7%
1943	142	1.6%
1944	152	1.7%
1945	142	1.6%

Value	Count	Frequency (%)
1996	81	0.9%
1995	147	1.6%
1994	159	1.8%
1993	157	1.7%
1992	168	1.9%
1991	141	1.6%
1990	133	1.5%
1989	152	1.7%
1988	150	1.7%
1987	136	1.5%

income
Real number (ℝ)

High correlation

Distinct	8524
Distinct (%)	95.2%
Missing	46
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	69963.551

Minimum	10000
Maximum	140628
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	10000
5-th percentile	26314.6
Q1	47741
median	70030.5
Q3	92218
95-th percentile	113395.3
Maximum	140628
Range	130628
Interquartile range (IQR)	44477

Descriptive statistics

Standard deviation	27591.556
Coefficient of variation (CV)	0.39437044
Kurtosis	-0.92932804
Mean	69963.551
Median Absolute Deviation (MAD)	22214.5
Skewness	0.0086888909
Sum	6.2631371 × 10⁸
Variance	7.6129397 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	35	0.4%
64185	4	< 0.1%
49948	3	< 0.1%
37902	3	< 0.1%
66184	3	< 0.1%
99452	3	< 0.1%
39782	3	< 0.1%
83455	3	< 0.1%
83267	3	< 0.1%
51743	3	< 0.1%
Other values (8514)	8889	98.8%
(Missing)	46	0.5%

Value	Count	Frequency (%)
10000	35	0.4%
10182	1	< 0.1%
10186	1	< 0.1%
10608	1	< 0.1%
10886	1	< 0.1%
11347	1	< 0.1%
11437	1	< 0.1%
11474	1	< 0.1%
11719	1	< 0.1%
11760	1	< 0.1%

Value	Count	Frequency (%)
140628	1	< 0.1%
137338	1	< 0.1%
137053	1	< 0.1%
136922	1	< 0.1%
136213	1	< 0.1%
136192	1	< 0.1%
135959	1	< 0.1%
135789	1	< 0.1%
135579	1	< 0.1%
134689	1	< 0.1%

frq
Real number (ℝ)

High correlation

Distinct	57
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.848077

Minimum	3
Maximum	59
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	3
5-th percentile	7
Q1	10
median	17
Q3	28
95-th percentile	40
Maximum	59
Range	56
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	10.903435
Coefficient of variation (CV)	0.54934462
Kurtosis	-0.41398892
Mean	19.848077
Median Absolute Deviation (MAD)	8
Skewness	0.69777907
Sum	178593
Variance	118.88489
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	635	7.1%
9	583	6.5%
11	513	5.7%
8	493	5.5%
12	418	4.6%
7	325	3.6%
13	316	3.5%
14	282	3.1%
21	238	2.6%
16	233	2.6%
Other values (47)	4962	55.1%

Value	Count	Frequency (%)
3	5	0.1%
4	24	0.3%
5	87	1.0%
6	173	1.9%
7	325	3.6%
8	493	5.5%
9	583	6.5%
10	635	7.1%
11	513	5.7%
12	418	4.6%

Value	Count	Frequency (%)
59	2	< 0.1%
58	1	< 0.1%
57	1	< 0.1%
56	3	< 0.1%
55	3	< 0.1%
54	3	< 0.1%
53	6	0.1%
52	8	0.1%
51	15	0.2%
50	9	0.1%

rcn
Real number (ℝ)

Distinct	378
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	62.469771

Minimum	0
Maximum	549
Zeros	44
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	26
median	53
Q3	79
95-th percentile	99
Maximum	549
Range	549
Interquartile range (IQR)	53

Descriptive statistics

Standard deviation	69.761802
Coefficient of variation (CV)	1.116729
Kurtosis	21.096923
Mean	62.469771
Median Absolute Deviation (MAD)	26
Skewness	4.1740066
Sum	562103
Variance	4866.709
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9	107	1.2%
56	105	1.2%
64	103	1.1%
29	102	1.1%
4	102	1.1%
27	100	1.1%
92	100	1.1%
68	99	1.1%
54	99	1.1%
17	98	1.1%
Other values (368)	7983	88.7%

Value	Count	Frequency (%)
0	44	0.5%
1	91	1.0%
2	92	1.0%
3	91	1.0%
4	102	1.1%
5	69	0.8%
6	86	1.0%
7	80	0.9%
8	77	0.9%
9	107	1.2%

Value	Count	Frequency (%)
549	3	< 0.1%
547	1	< 0.1%
546	3	< 0.1%
542	2	< 0.1%
540	1	< 0.1%
538	1	< 0.1%
537	1	< 0.1%
535	1	< 0.1%
534	1	< 0.1%
533	1	< 0.1%

mnt
Real number (ℝ)

High correlation

Distinct	717
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	622.16281

Minimum	6
Maximum	3052
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	6
5-th percentile	19
Q1	63
median	383
Q3	1076
95-th percentile	1917.15
Maximum	3052
Range	3046
Interquartile range (IQR)	1013

Descriptive statistics

Standard deviation	646.7682
Coefficient of variation (CV)	1.0395482
Kurtosis	-0.058093769
Mean	622.16281
Median Absolute Deviation (MAD)	343
Skewness	0.9809806
Sum	5598221
Variance	418309.11
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19	158	1.8%
41	121	1.3%
20	108	1.2%
40	89	1.0%
42	88	1.0%
64	86	1.0%
66	78	0.9%
65	76	0.8%
92	61	0.7%
118	56	0.6%
Other values (707)	8077	89.8%

Value	Count	Frequency (%)
6	1	< 0.1%
7	2	< 0.1%
8	8	0.1%
9	14	0.2%
10	22	0.2%
11	26	0.3%
12	23	0.3%
13	28	0.3%
14	37	0.4%
15	26	0.3%

Value	Count	Frequency (%)
3052	1	< 0.1%
2938	1	< 0.1%
2936	1	< 0.1%
2878	1	< 0.1%
2823	1	< 0.1%
2821	1	< 0.1%
2705	2	< 0.1%
2704	2	< 0.1%
2703	1	< 0.1%
2648	2	< 0.1%

clothes
Real number (ℝ)

High correlation

Distinct	99
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.446655

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	1
5-th percentile	11
Q1	33
median	51
Q3	69
95-th percentile	88
Maximum	99
Range	98
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	23.422249
Coefficient of variation (CV)	0.46429737
Kurtosis	-0.91859542
Mean	50.446655
Median Absolute Deviation (MAD)	18
Skewness	-0.078219313
Sum	453919
Variance	548.60174
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
55	150	1.7%
40	141	1.6%
47	139	1.5%
41	139	1.5%
70	137	1.5%
56	136	1.5%
58	136	1.5%
46	135	1.5%
57	133	1.5%
31	133	1.5%
Other values (89)	7619	84.7%

Value	Count	Frequency (%)
1	2	< 0.1%
2	15	0.2%
3	24	0.3%
4	38	0.4%
5	44	0.5%
6	53	0.6%
7	55	0.6%
8	57	0.6%
9	70	0.8%
10	64	0.7%

Value	Count	Frequency (%)
99	1	< 0.1%
98	1	< 0.1%
97	9	0.1%
96	17	0.2%
95	25	0.3%
94	36	0.4%
93	56	0.6%
92	46	0.5%
91	60	0.7%
90	64	0.7%

kitchen
Real number (ℝ)

High correlation Zeros

Distinct	58
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.0396755

Minimum	0
Maximum	75
Zeros	833
Zeros (%)	9.3%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	10
95-th percentile	23
Maximum	75
Range	75
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	7.8481393
Coefficient of variation (CV)	1.1148439
Kurtosis	5.619266
Mean	7.0396755
Median Absolute Deviation (MAD)	3
Skewness	2.0494582
Sum	63343
Variance	61.593291
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1326	14.7%
2	1005	11.2%
0	833	9.3%
3	761	8.5%
4	644	7.2%
5	584	6.5%
6	506	5.6%
7	404	4.5%
8	372	4.1%
10	289	3.2%
Other values (48)	2274	25.3%

Value	Count	Frequency (%)
0	833	9.3%
1	1326	14.7%
2	1005	11.2%
3	761	8.5%
4	644	7.2%
5	584	6.5%
6	506	5.6%
7	404	4.5%
8	372	4.1%
9	277	3.1%

Value	Count	Frequency (%)
75	1	< 0.1%
67	1	< 0.1%
65	1	< 0.1%
61	1	< 0.1%
59	1	< 0.1%
58	1	< 0.1%
55	1	< 0.1%
51	1	< 0.1%
50	1	< 0.1%
49	2	< 0.1%

small_appliances
Real number (ℝ)

High correlation

Distinct	73
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	28.524116

Minimum	1
Maximum	74
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	1
5-th percentile	9
Q1	19
median	28
Q3	37
95-th percentile	50
Maximum	74
Range	73
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	12.586437
Coefficient of variation (CV)	0.44125597
Kurtosis	-0.42300302
Mean	28.524116
Median Absolute Deviation (MAD)	9
Skewness	0.31464565
Sum	256660
Variance	158.41839
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
23	286	3.2%
22	277	3.1%
26	276	3.1%
27	269	3.0%
19	268	3.0%
25	264	2.9%
30	262	2.9%
28	261	2.9%
31	254	2.8%
29	236	2.6%
Other values (63)	6345	70.5%

Value	Count	Frequency (%)
1	1	< 0.1%
2	2	< 0.1%
3	13	0.1%
4	39	0.4%
5	53	0.6%
6	61	0.7%
7	79	0.9%
8	104	1.2%
9	131	1.5%
10	125	1.4%

Value	Count	Frequency (%)
74	2	< 0.1%
73	1	< 0.1%
72	1	< 0.1%
70	1	< 0.1%
69	3	< 0.1%
68	1	< 0.1%
67	1	< 0.1%
66	7	0.1%
65	4	< 0.1%
64	10	0.1%

toys
Real number (ℝ)

High correlation Zeros

Distinct	58
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.0368971

Minimum	0
Maximum	62
Zeros	815
Zeros (%)	9.1%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	10
95-th percentile	23
Maximum	62
Range	62
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	7.9244217
Coefficient of variation (CV)	1.1261244
Kurtosis	5.6446572
Mean	7.0368971
Median Absolute Deviation (MAD)	3
Skewness	2.0960474
Sum	63318
Variance	62.79646
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1370	15.2%
2	988	11.0%
0	815	9.1%
3	779	8.7%
4	675	7.5%
5	542	6.0%
6	499	5.5%
7	409	4.5%
8	344	3.8%
9	295	3.3%
Other values (48)	2282	25.4%

Value	Count	Frequency (%)
0	815	9.1%
1	1370	15.2%
2	988	11.0%
3	779	8.7%
4	675	7.5%
5	542	6.0%
6	499	5.5%
7	409	4.5%
8	344	3.8%
9	295	3.3%

Value	Count	Frequency (%)
62	1	< 0.1%
61	1	< 0.1%
60	2	< 0.1%
57	1	< 0.1%
56	1	< 0.1%
54	2	< 0.1%
52	3	< 0.1%
50	4	< 0.1%
49	1	< 0.1%
48	1	< 0.1%

house_keeping
Real number (ℝ)

High correlation Zeros

Distinct	59
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.9299844

Minimum	0
Maximum	77
Zeros	851
Zeros (%)	9.5%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	9
95-th percentile	23
Maximum	77
Range	77
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	7.8826554
Coefficient of variation (CV)	1.1374709
Kurtosis	6.8855217
Mean	6.9299844
Median Absolute Deviation (MAD)	3
Skewness	2.2291241
Sum	62356
Variance	62.136255
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1326	14.7%
2	981	10.9%
0	851	9.5%
3	848	9.4%
4	675	7.5%
5	519	5.8%
6	477	5.3%
7	446	5.0%
8	357	4.0%
9	309	3.4%
Other values (49)	2209	24.5%

Value	Count	Frequency (%)
0	851	9.5%
1	1326	14.7%
2	981	10.9%
3	848	9.4%
4	675	7.5%
5	519	5.8%
6	477	5.3%
7	446	5.0%
8	357	4.0%
9	309	3.4%

Value	Count	Frequency (%)
77	1	< 0.1%
72	1	< 0.1%
62	1	< 0.1%
59	1	< 0.1%
58	2	< 0.1%
57	2	< 0.1%
56	1	< 0.1%
55	3	< 0.1%
52	2	< 0.1%
50	1	< 0.1%

dependents
Boolean

High correlation Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	282
Missing (%)	3.1%
Memory size	17.7 KiB

True	6164
False	2552
(Missing)	282

Value	Count	Frequency (%)
True	6164	68.5%
False	2552	28.4%
(Missing)	282	3.1%

per_net_purchase
Real number (ℝ)

High correlation

Distinct	82
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.428984

Minimum	4
Maximum	88
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	70.4 KiB

Quantile statistics

Minimum	4
5-th percentile	11
Q1	28
median	45
Q3	57
95-th percentile	69
Maximum	88
Range	84
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	18.495742
Coefficient of variation (CV)	0.43592235
Kurtosis	-1.0346606
Mean	42.428984
Median Absolute Deviation (MAD)	14
Skewness	-0.26645322
Sum	381776
Variance	342.09249
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
56	215	2.4%
54	214	2.4%
57	212	2.4%
55	199	2.2%
58	192	2.1%
61	192	2.1%
53	189	2.1%
13	188	2.1%
60	185	2.1%
59	184	2.0%
Other values (72)	7028	78.1%

Value	Count	Frequency (%)
4	1	< 0.1%
5	3	< 0.1%
6	15	0.2%
7	35	0.4%
8	54	0.6%
9	88	1.0%
10	124	1.4%
11	148	1.6%
12	166	1.8%
13	188	2.1%

Value	Count	Frequency (%)
88	1	< 0.1%
84	1	< 0.1%
83	1	< 0.1%
82	3	< 0.1%
81	3	< 0.1%
80	4	< 0.1%
79	7	0.1%
78	12	0.1%
77	13	0.1%
76	23	0.3%

gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	70.4 KiB

M	5784
F	3214

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8998
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	F
3rd row	M
4th row	F
5th row	F

Common Values

Value	Count	Frequency (%)
M	5784	64.3%
F	3214	35.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
m	5784	64.3%
f	3214	35.7%

Most occurring characters

Value	Count	Frequency (%)
M	5784	64.3%
F	3214	35.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8998	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
M	5784	64.3%
F	3214	35.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8998	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
M	5784	64.3%
F	3214	35.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8998	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
M	5784	64.3%
F	3214	35.7%

education
Categorical

Distinct	6
Distinct (%)	0.1%
Missing	47
Missing (%)	0.5%
Memory size	70.4 KiB

Graduation	4429
2nd Cycle	1496
Master	1303
1st Cycle	1104
PhD	593

Length

Max length	10
Median length	9
Mean length	8.6605966
Min length	3

Characters and Unicode

Total characters	77521
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Graduation
2nd row	PhD
3rd row	Graduation
4th row	Master
5th row	Graduation

Common Values

Value	Count	Frequency (%)
Graduation	4429	49.2%
2nd Cycle	1496	16.6%
Master	1303	14.5%
1st Cycle	1104	12.3%
PhD	593	6.6%
OldSchool	26	0.3%
(Missing)	47	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
graduation	4429	38.3%
cycle	2600	22.5%
2nd	1496	13.0%
master	1303	11.3%
1st	1104	9.6%
phd	593	5.1%
oldschool	26	0.2%

Most occurring characters

Value	Count	Frequency (%)
a	10161	13.1%
t	6836	8.8%
d	5951	7.7%
n	5925	7.6%
r	5732	7.4%
o	4481	5.8%
G	4429	5.7%
u	4429	5.7%
i	4429	5.7%
e	3903	5.0%
Other values (14)	21245	27.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	77521	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	10161	13.1%
t	6836	8.8%
d	5951	7.7%
n	5925	7.6%
r	5732	7.4%
o	4481	5.8%
G	4429	5.7%
u	4429	5.7%
i	4429	5.7%
e	3903	5.0%
Other values (14)	21245	27.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	77521	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	10161	13.1%
t	6836	8.8%
d	5951	7.7%
n	5925	7.6%
r	5732	7.4%
o	4481	5.8%
G	4429	5.7%
u	4429	5.7%
i	4429	5.7%
e	3903	5.0%
Other values (14)	21245	27.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	77521	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	10161	13.1%
t	6836	8.8%
d	5951	7.7%
n	5925	7.6%
r	5732	7.4%
o	4481	5.8%
G	4429	5.7%
u	4429	5.7%
i	4429	5.7%
e	3903	5.0%
Other values (14)	21245	27.4%

status
Categorical

Missing

Distinct	6
Distinct (%)	0.1%
Missing	177
Missing (%)	2.0%
Memory size	70.4 KiB

Married	3273
Single	2293
Together	2118
Divorced	677
Widow	445

Length

Max length	8
Median length	7
Mean length	6.9577145
Min length	5

Characters and Unicode

Total characters	61374
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Together
2nd row	Divorced
3rd row	Married
4th row	Together
5th row	Single

Common Values

Value	Count	Frequency (%)
Married	3273	36.4%
Single	2293	25.5%
Together	2118	23.5%
Divorced	677	7.5%
Widow	445	4.9%
Whatever	15	0.2%
(Missing)	177	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
married	3273	37.1%
single	2293	26.0%
together	2118	24.0%
divorced	677	7.7%
widow	445	5.0%
whatever	15	0.2%

Most occurring characters

Value	Count	Frequency (%)
e	10509	17.1%
r	9356	15.2%
i	6688	10.9%
g	4411	7.2%
d	4395	7.2%
a	3288	5.4%
M	3273	5.3%
o	3240	5.3%
l	2293	3.7%
n	2293	3.7%
Other values (9)	11628	18.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	61374	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	10509	17.1%
r	9356	15.2%
i	6688	10.9%
g	4411	7.2%
d	4395	7.2%
a	3288	5.4%
M	3273	5.3%
o	3240	5.3%
l	2293	3.7%
n	2293	3.7%
Other values (9)	11628	18.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	61374	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	10509	17.1%
r	9356	15.2%
i	6688	10.9%
g	4411	7.2%
d	4395	7.2%
a	3288	5.4%
M	3273	5.3%
o	3240	5.3%
l	2293	3.7%
n	2293	3.7%
Other values (9)	11628	18.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	61374	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	10509	17.1%
r	9356	15.2%
i	6688	10.9%
g	4411	7.2%
d	4395	7.2%
a	3288	5.4%
M	3273	5.3%
o	3240	5.3%
l	2293	3.7%
n	2293	3.7%
Other values (9)	11628	18.9%

description
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	70.4 KiB

OK nice!	3434
Meh...	2107
Kind of OK	2090
Take my money!!	1326
Horrible	41

Length

Max length	15
Median length	10
Mean length	9.027784
Min length	6

Characters and Unicode

Total characters	81232
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Take my money!!
2nd row	Take my money!!
3rd row	Kind of OK
4th row	OK nice!
5th row	Take my money!!

Common Values

Value	Count	Frequency (%)
OK nice!	3434	38.2%
Meh...	2107	23.4%
Kind of OK	2090	23.2%
Take my money!!	1326	14.7%
Horrible	41	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ok	5524	28.7%
nice	3434	17.8%
meh	2107	10.9%
kind	2090	10.8%
of	2090	10.8%
take	1326	6.9%
my	1326	6.9%
money	1326	6.9%
horrible	41	0.2%

Most occurring characters

Value	Count	Frequency (%)
	10266	12.6%
e	8234	10.1%
K	7614	9.4%
n	6850	8.4%
.	6321	7.8%
!	6086	7.5%
i	5565	6.9%
O	5524	6.8%
o	3457	4.3%
c	3434	4.2%
Other values (13)	17881	22.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	81232	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	10266	12.6%
e	8234	10.1%
K	7614	9.4%
n	6850	8.4%
.	6321	7.8%
!	6086	7.5%
i	5565	6.9%
O	5524	6.8%
o	3457	4.3%
c	3434	4.2%
Other values (13)	17881	22.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	81232	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	10266	12.6%
e	8234	10.1%
K	7614	9.4%
n	6850	8.4%
.	6321	7.8%
!	6086	7.5%
i	5565	6.9%
O	5524	6.8%
o	3457	4.3%
c	3434	4.2%
Other values (13)	17881	22.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	81232	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	10266	12.6%
e	8234	10.1%
K	7614	9.4%
n	6850	8.4%
.	6321	7.8%
!	6086	7.5%
i	5565	6.9%
O	5524	6.8%
o	3457	4.3%
c	3434	4.2%
Other values (13)	17881	22.0%

	age	income	frq	rcn	mnt	clothes	kitchen	small_appliances	toys	house_keeping	per_net_purchase
age	1.000	-0.934	-0.766	0.178	-0.814	-0.252	0.258	-0.021	0.256	0.267	0.786
income	-0.934	1.000	0.813	-0.182	0.850	0.234	-0.241	0.021	-0.238	-0.248	-0.734
frq	-0.766	0.813	1.000	-0.193	0.977	0.129	-0.159	0.066	-0.161	-0.167	-0.624
rcn	0.178	-0.182	-0.193	1.000	-0.158	-0.082	0.056	0.038	0.064	0.063	0.138
mnt	-0.814	0.850	0.977	-0.158	1.000	0.066	-0.125	0.120	-0.127	-0.135	-0.735
clothes	-0.252	0.234	0.129	-0.082	0.066	1.000	-0.660	-0.628	-0.657	-0.654	0.034
kitchen	0.258	-0.241	-0.159	0.056	-0.125	-0.660	1.000	0.085	0.417	0.415	0.035
small_appliances	-0.021	0.021	0.066	0.038	0.120	-0.628	0.085	1.000	0.094	0.092	-0.143
toys	0.256	-0.238	-0.161	0.064	-0.127	-0.657	0.417	0.094	1.000	0.385	0.037
house_keeping	0.267	-0.248	-0.167	0.063	-0.135	-0.654	0.415	0.092	0.385	1.000	0.053
per_net_purchase	0.786	-0.734	-0.624	0.138	-0.735	0.034	0.035	-0.143	0.037	0.053	1.000

	age	clothes	dependents	description	education	frq	gender	house_keeping	income	kitchen	mnt	per_net_purchase	rcn	small_appliances	status	toys
age	1.000	-0.228	0.692	0.258	0.181	-0.763	0.000	0.173	-0.938	0.171	-0.849	0.777	0.071	-0.026	0.208	0.161
clothes	-0.228	1.000	0.271	0.059	0.247	0.153	0.000	-0.716	0.213	-0.720	0.168	0.017	-0.027	-0.648	0.125	-0.716
dependents	0.692	0.271	1.000	0.375	0.000	0.541	0.000	0.097	0.577	0.113	0.615	0.711	0.082	0.255	0.190	0.129
description	0.258	0.059	0.375	1.000	0.034	0.385	0.000	0.051	0.274	0.039	0.341	0.225	0.073	0.022	0.084	0.050
education	0.181	0.247	0.000	0.034	1.000	0.061	0.000	0.195	0.137	0.195	0.059	0.049	0.033	0.074	0.065	0.201
frq	-0.763	0.153	0.541	0.385	0.061	1.000	0.012	-0.136	0.811	-0.130	0.968	-0.574	-0.096	0.034	0.131	-0.125
gender	0.000	0.000	0.000	0.000	0.000	0.012	1.000	0.016	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.024
house_keeping	0.173	-0.716	0.097	0.051	0.195	-0.136	0.016	1.000	-0.158	0.523	-0.135	-0.037	0.017	0.293	0.082	0.508
income	-0.938	0.213	0.577	0.274	0.137	0.811	0.000	-0.158	1.000	-0.157	0.890	-0.730	-0.071	0.014	0.172	-0.148
kitchen	0.171	-0.720	0.113	0.039	0.195	-0.130	0.000	0.523	-0.157	1.000	-0.132	-0.039	0.024	0.277	0.086	0.521
mnt	-0.849	0.168	0.615	0.341	0.059	0.968	0.000	-0.135	0.890	-0.132	1.000	-0.712	-0.110	0.028	0.138	-0.124
per_net_purchase	0.777	0.017	0.711	0.225	0.049	-0.574	0.000	-0.037	-0.730	-0.039	-0.712	1.000	0.048	-0.106	0.132	-0.044
rcn	0.071	-0.027	0.082	0.073	0.033	-0.096	0.000	0.017	-0.071	0.024	-0.110	0.048	1.000	0.013	0.029	0.012
small_appliances	-0.026	-0.648	0.255	0.022	0.074	0.034	0.000	0.293	0.014	0.277	0.028	-0.106	0.013	1.000	0.014	0.281
status	0.208	0.125	0.190	0.084	0.065	0.131	0.000	0.082	0.172	0.086	0.138	0.132	0.029	0.014	1.000	0.092
toys	0.161	-0.716	0.129	0.050	0.201	-0.125	0.024	0.508	-0.148	0.521	-0.124	-0.044	0.012	0.281	0.092	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	age	income	frq	rcn	mnt	clothes	kitchen	small_appliances	toys	house_keeping	dependents	per_net_purchase	gender	education	status	description
0	1946	90782.0	33	66	1402	37	5	44	10	3	False	19	M	Graduation	Together	Take my money!!
1	1936	113023.0	32	6	1537	55	1	38	4	2	False	9	F	PhD	Divorced	Take my money!!
2	1990	28344.0	11	69	44	32	19	24	1	24	True	59	M	Graduation	Married	Kind of OK
3	1955	93571.0	26	10	888	60	10	19	6	5	True	35	F	Master	NaN	OK nice!
4	1955	91852.0	31	26	1138	59	5	28	4	4	True	34	F	Graduation	Together	Take my money!!
5	1982	22386.0	14	65	56	47	2	48	2	1	True	67	M	PhD	Single	OK nice!
6	1969	69485.0	18	73	345	71	7	13	1	8	True	46	M	Graduation	Together	OK nice!
7	1960	68602.0	5	44	41	84	1	12	2	0	True	37	M	Graduation	Together	Horrible
8	1940	109499.0	30	75	1401	38	9	35	9	9	False	17	M	Graduation	Divorced	OK nice!
9	1994	23846.0	8	153	19	18	55	17	10	1	True	39	F	1st Cycle	Together	Meh...

	age	income	frq	rcn	mnt	clothes	kitchen	small_appliances	toys	house_keeping	dependents	per_net_purchase	gender	education	status	description
8988	1947	100928.0	28	6	1152	74	3	20	1	2	False	29	F	Master	Divorced	Take my money!!
8989	1947	87605.0	21	18	823	34	21	9	35	1	False	9	M	1st Cycle	Widow	Kind of OK
8990	1995	28144.0	10	41	46	11	40	24	22	2	True	59	M	1st Cycle	Married	OK nice!
8991	1939	126254.0	46	36	2231	32	4	47	9	8	False	22	M	Graduation	Divorced	Take my money!!
8992	1954	87399.0	25	1	837	56	8	27	8	1	<NA>	47	M	Graduation	Married	Kind of OK
8993	1960	94367.0	28	1	896	68	5	21	3	4	True	55	F	1st Cycle	Single	Take my money!!
8994	1975	58121.0	12	6	61	53	6	28	7	6	True	71	M	2nd Cycle	Single	Meh...
8995	1986	54292.0	29	72	1011	41	11	36	1	11	False	31	M	Graduation	Together	Take my money!!
8996	1938	125962.0	38	75	1668	61	2	25	5	6	True	45	M	2nd Cycle	Married	Take my money!!
8997	1994	26385.0	9	24	46	5	13	21	46	15	True	52	M	1st Cycle	Single	Kind of OK

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample